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PR Review: MST-9510 — clarify Slack weather HTTP output paths

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Summary

Adds hints to the slack_weather_pipeline test task's initial_prompt clarifying that (1) the Slack channel address should be normalized to "Bellevue" before geocoding, and (2) HTTP action results must be read from .output.body (not .output directly). Motivated by an e2e run where the agent used $vars.geocodeCity.output.results[0]... instead of the correct $vars.geocodeCity.output.body.results[0]....

Change-by-Change Review

1. tests/tasks/uipath-maestro-flow/multi_node/slack_weather_pipeline/slack_weather_pipeline.yaml — lines 24-30

Severity: Low

The change is correct and well-scoped — it addresses a documented e2e failure by adding structural hints about the HTTP response data model (.output.body path).

One consideration: the added text prescribes specific variable names (geocodeCity, fetchWeather) and exact JSON paths (results[0].latitude, current.temperature_2m). This makes the prompt more prescriptive than the general guidance in code_review.md prefers ("initial_prompt is minimal — describes the goal, not the steps"). However, this is a pragmatic fix for a structural issue (the agent doesn't know the runtime's HTTP response envelope shape), and the existing prompt was already directive. Acceptable for unblocking the e2e pipeline.

No issues with:

• YAML syntax — valid
• No env_packages added (correct per task-authoring rules)
• No secrets or personal paths
• No cross-skill references
• Scoped to the single task being fixed

What's Missing

Nothing identified.

Area Ratings

Issues for Manual Review

• Verify that the open-meteo geocoding API actually returns results under results[0].latitude / results[0].longitude and that the weather endpoint returns current.temperature_2m — these are domain-specific paths the reviewer should confirm against the open-meteo API docs.
• Confirm that the flow runtime's HTTP action does wrap responses under .output.body — this is the core assumption the fix relies on.

Conclusion

Clean, focused fix addressing a real e2e failure. No blocking issues. Approve.

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Coder-eval task lint (advisory)

1 task YAML changed; verdicts: 0 Critical, 0 High, 1 Medium, 0 Low, 0 OK.

Rubric: .claude/commands/lint-task.md. This check is advisory and never blocks merge.

Evidence of passing run

❌ High — PR body describes the e2e run (2026-05-15_07-29-17) that motivated the fix (wrong .output.results[0] path), but does not claim the task passes after these prompt changes. Please edit the PR description to add a line like:

Ran skill-flow-slack-weather-pipeline locally and it passed.

Per-task lint

tests/tasks/uipath-maestro-flow/multi_node/slack_weather_pipeline/slack_weather_pipeline.yaml — verdict: Medium

Issues:

• [Medium] Prompt over-specification: lines 24–30 prescribe exact $vars paths ($vars.geocodeCity.output.body.results[0].latitude, $vars.fetchWeather.output.body.current.temperature_2m) and instruct the agent to normalize the city to "Bellevue" before geocoding. These are procedural hints about HTTP response traversal and data-prep steps that the skill should teach. The agent gets the answer sheet for the .output.body chaining pattern rather than discovering it from the skill.

Suggested fixes:

• Remove the specific variable-name examples (geocodeCity, fetchWeather) — these are implementation choices the agent should make, not test fixtures.
• Consider reducing the .output.body hint to a single generic sentence (e.g., "HTTP action responses are nested under .output.body") rather than spelling out full paths for both geocode and weather responses. This preserves the framework-quirk hint without prescribing the exact traversal.
• Alternatively, if the skill's own reference docs already document .output.body chaining, remove the hint entirely and let the skill teach it.

Within-PR duplicates

• No duplicate clusters detected (only 1 file changed).

Conclusion

• ⚠ 1 task has issues, max severity Medium. Advisory only — not blocking merge. Evidence of passing run is missing from the PR description.